dUtility function

Data-Utility measures

dUtility() allows to compute different measures of data-utility based on various distances using original and perturbed variables. methods

dUtility(obj, ...)

Arguments

• obj: original data or object of class sdcMicroObj

• ...: see arguments below

  • xm: perturbed data
  • method: method IL1, IL1s or eigen. More methods are implemented in summary.micro()

Returns

data utility or modified entry for data utility the sdcMicroObj .

Details

The standardised distances of the perturbed data values to the original ones are measured. The following measures are available:

• "IL1: sum of absolute distances between original and perturbed variables scaled by absolute values of the original variables
• "IL1s: measures the absolute distances between original and perturbed ones, scaled by the standard deviation of original variables times the square root of 2.
• "eigen; compares the eigenvalues of original and perturbed data
• "robeigen; compares robust eigenvalues of original and perturbed data

References

for IL1 and IL1s: see Mateo-Sanz, Sebe, Domingo-Ferrer. Outlier Protection in Continuous Microdata Masking. International Workshop on Privacy in Statistical Databases. PSD 2004: Privacy in Statistical Databases pp 201-215.

Templ, M. and Meindl, B., Robust Statistics Meets SDC: New Disclosure Risk Measures forContinuous Microdata Masking, Lecture Notes in Computer Science, Privacy in Statistical Databases, vol. 5262, pp. 113-126, 2008.

See Also

dRisk(), dRiskRMD()

Author(s)

Matthias Templ